Raymond James Financial (RJF) Prepaid Assets (2009 - 2026)
Raymond James Financial (RJF) posted Prepaid Assets of $4.12 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 19.0% from $3.46 billion a year earlier and up 11.4% from the prior quarter.
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Analysis
Raymond James Financial (RJF) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Raymond James Financial's Prepaid Assets came in at $3.52 billion, up 4.7% from FY2024.
- Annual Prepaid Assets has increased for 14 consecutive fiscal years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- In prior fiscal years, Raymond James Financial's Prepaid Assets was $3.36 billion in FY2024 (+20.2%), $2.79 billion in FY2023 (+13.9%), $2.45 billion in FY2022 (+8.6%) and $2.26 billion in FY2021 (+9.6%).
- The fiscal Q3 2026 figure stands as the highest quarterly Prepaid Assets in data going back to fiscal Q4 2009.
- On a year-over-year basis, Prepaid Assets has increased in each of the last 30 quarters, with growth averaging 10.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Prepaid Assets ran from 3.5% in fiscal Q2 2025 to 46.1% in fiscal Q3 2022.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $3.7 billion (Q2 2026), $3.68 billion (Q1 2026) and $3.52 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Raymond James Financial | 32.28 Bn | 32.28 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.12 Bn |
| Mar 31, 2026 | 3.70 Bn |
| Dec 31, 2025 | 3.68 Bn |
| Sep 30, 2025 | 3.52 Bn |
| Jun 30, 2025 | 3.46 Bn |
| Mar 31, 2025 | 3.32 Bn |
| Dec 31, 2024 | 3.41 Bn |
| Sep 30, 2024 | 3.36 Bn |
| Jun 30, 2024 | 3.22 Bn |
| Mar 31, 2024 | 3.20 Bn |
| Dec 31, 2023 | 3.06 Bn |
| Sep 30, 2023 | 2.79 Bn |
| Jun 30, 2023 | 2.77 Bn |
| Mar 31, 2023 | 2.68 Bn |
| Dec 31, 2022 | 2.52 Bn |
| Sep 30, 2022 | 2.45 Bn |
| Jun 30, 2022 | 2.39 Bn |
| Mar 31, 2022 | 2.33 Bn |
| Dec 31, 2021 | 2.39 Bn |
| Sep 30, 2021 | 2.26 Bn |
API Access
Raymond James Financial Prepaid Assets API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=prepaid-assets&ticker=RJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "RJF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();